/// <summary>
/// This function initializes a previously created RNN descriptor object.
/// </summary>
/// <param name="hiddenSize">Size of the internal hidden state for each layer.</param>
/// <param name="seqLength">Number of iterations to unroll over.</param>
/// <param name="numLayers">Number of layers.</param>
/// <param name="dropoutDesc">Handle to a previously created and initialized dropout descriptor.</param>
/// <param name="inputMode">Specifies the behavior at the input to the first layer.</param>
/// <param name="direction">Specifies the recurrence pattern. (eg. bidirectional)</param>
/// <param name="mode">The type of RNN to compute.</param>
/// <param name="dataType">Math precision.</param>
public void SetRNNDescriptor(
int hiddenSize,
int seqLength,
int numLayers,
DropoutDescriptor dropoutDesc, // Between layers, not between recurrent steps.
cudnnRNNInputMode inputMode,
cudnnDirectionMode direction,
cudnnRNNMode mode,
cudnnDataType dataType)
{
res = CudaDNNNativeMethods.cudnnSetRNNDescriptor(_desc, hiddenSize, seqLength, numLayers, dropoutDesc.Desc, inputMode, direction, mode, dataType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnSetRNNDescriptor", res));
if (res != cudnnStatus.Success) throw new CudaDNNException(res);
}
public static extern cudnnStatus cudnnSetRNNDescriptor(cudnnRNNDescriptor rnnDesc,
int hiddenSize,
int seqLength,
int numLayers,
cudnnDropoutDescriptor dropoutDesc, // Between layers, not between recurrent steps.
cudnnRNNInputMode inputMode,
cudnnDirectionMode direction,
cudnnRNNMode mode,
cudnnDataType dataType);
